From: Imputation strategies for missing binary outcomes in cluster randomized trials
Imputation level | Imputation strategies | Analysis model | OR4 and 95% CI5 for Complete Data: GEE2 1.14 (0.76 1.70) RE3 1.12 (0.72 1.76) | |||||
---|---|---|---|---|---|---|---|---|
 |  |  | OR4 and 95% CI5 for Different Percentage of missingness | |||||
 |  |  | 5% | 10% | 15% | 20% | 30% | 50% |
Within cluster | Logistic regression | GEE2 | 1.14 (0.76 1.72) | 1.14 (0.76 1.72) | Â | Â | Â | Â |
 |  | RE3 | 1.12 (0.71 1.78) | 1.13 (0.71 1.78) |  |  |  |  |
 | Propensity score | GEE2 | 1.14 (0.75 1.72) | 1.14 (0.75 1.73) | 1.14 (0.74 1.75) | 1.14 (0.73 1.78) | 1.15 (0.71 1.84) | 1.18 (0.68 2.04) |
 |  | RE3 | 1.12 (0.70 1.79) | 1.12 (0.70 1.79) | 1.12 (0.69 1.82) | 1.12 (0.68 1.86) | 1.12 (0.65 1.93) | 1.15 (0.61 2.18) |
 | MCMC1 | GEE2 | 1.13 (0.75 1.71) | 1.13 (0.75 1.70) | 1.13 (0.74 1.71) | 1.12 (0.74 1.72) | 1.12 (0.72 1.74) | 1.12 (0.69 1.80) |
 |  | RE3 | 1.11 (0.70 1.77) | 1.11 (0.70 1.76) | 1.11 (0.69 1.77) | 1.11 (0.69 1.78) | 1.10 (0.67 1.81) | 1.10 (0.64 1.88) |
Across cluster | Propensity score | GEE2 | 1.14 (0.77 1.68) | 1.14 (0.77 1.67) | 1.14 (0.78 1.67) | 1.14 (0.79 1.67) | 1.15 (0.79 1.67) | 1.15 (0.76 1.72) |
 |  | RE3 | 1.18 (0.88 1.59) | 1.18 (0.87 1.59) | 1.18 (0.87 1.60) | 1.18 (0.86 1.61) | 1.18 (0.85 1.64) | 1.17 (0.78 1.76) |
 | Random-effects | GEE2 | 1.15 (0.78 1.69) | 1.16 (0.80 1.70) | 1.18 (0.81 1.72) | 1.19 (0.81 1.75) | 1.22 (0.81 1.83) | 1.31 (0.83 2.06) |
 | logistic regression | RE3 | 1.14 (0.75 1.74) | 1.16 (0.77 1.74) | 1.18 (0.79 1.76) | 1.19 (0.80 1.78) | 1.22 (0.80 1.86) | 1.31 (0.83 2.05) |
 | Fixed-effects | GEE2 | 1.14 (0.76 1.71) | 1.15 (0.76 1.73) | 1.15 (0.76 1.76) | 1.16 (0.75 1.79) | 1.17 (0.73 1.86) | 1.17 (0.67 2.04) |
 | Logistic regression | RE4 | 1.13 (0.72 1.77) | 1.14 (0.72 1.79) | 1.14 (0.71 1.83) | 1.15 (0.71 1.86) | 1.15 (0.68 1.94) | 1.15 (0.61 2.18) |
Ignore cluster | Logistic regression | GEE2 | 1.14 (0.78 1.67) | 1.14 (0.79 1.65) | 1.15 (0.80 1.64) | 1.15 (0.81 1.64) | 1.16 (0.83 1.63) | 1.15 (0.81 1.63) |
 |  | RE3 | 1.13 (0.74 1.72) | 1.14 (0.76 1.70) | 1.15 (0.78 1.68) | 1.15 (0.80 1.67) | 1.16 (0.82 1.65) | 1.15 (0.81 1.63) |
 | Propensity score | GEE2 | 1.14 (0.78 1.67) | 1.14 (0.79 1.65) | 1.15 (0.81 1.64) | 1.15 (0.82 1.63) | 1.15 (0.83 1.61) | 1.15 (0.82 1.62) |
 |  | RE3 | 1.13 (0.75 1.72) | 1.14 (0.77 1.69) | 1.15 (0.79 1.67) | 1.15 (0.80 1.66) | 1.15 (0.82 1.63) | 1.15 (0.82 1.62) |
 | MCMC1 | GEE2 | 1.14 (0.78 1.67) | 1.14 (0.79 1.65) | 1.15 (0.80 1.63) | 1.15 (0.81 1.62) | 1.15 (0.82 1.59) | 1.13 (0.82 1.57) |
 |  | RE3 | 1.13 (0.74 1.72) | 1.14 (0.77 1.69) | 1.14 (0.78 1.67) | 1.15 (0.80 1.65) | 1.15 (0.81 1.61) | 1.13 (0.82 1.57) |
Complete case analysis | GEE2 | 1.14 (0.76 1.70) | 1.14 (0.76 1.71) | 1.14 (0.76 1.72) | 1.15 (0.76 1.73) | 1.15 (0.75 1.75) | 1.15 (0.73 1.80) | |
 |  | RE3 | 1.13 (0.72 1.75) | 1.13 (0.72 1.76) | 1.13 (0.72 1.77) | 1.14 (0.72 1.78) | 1.14 (0.72 1.80) | 1.15 (0.71 1.85) |